AI Article Synopsis
- * Methods: The study involved 41 subjects undergoing HUT, and researchers recorded neuECG to measure average SKNA during various phases (rest, tilt-up, etc.) and calculated the "SKNA-SDNN index" to analyze heart rate variability.
- * Results: Out of the subjects, 39% experienced syncope; tilt-positive subjects had significantly higher SKNA at rest, and there were marked changes in SKNA before and after syn
Article Abstract
(1) Background: The autonomic imbalance plays a role in vasovagal syncope (VVS) diagnosed by head-up tilting test (HUT). neuECG is a new method of recording skin electrical signals to simultaneously analyze skin sympathetic nerve activity (SKNA) and electrocardiogram. We hypothesize that SKNA is higher in subjects with tilt-positive than tilt-negative and the SKNA surges before syncope. (2) Methods: We recorded neuECG in 41 subjects who received HUT (according to the "Italian protocol"), including rest, tilt-up, provocation and recovery phases. Data were analyzed to determine the average SKNA (aSKNA, μV) per digitized sample. Electrocardiogram was used to calculate standard deviation of normal-to-normal beat intervals (SDNN). The "SKNA-SDNN index" was calculated by rest aSKNA multiplied by the ratio of tilt-up to rest SDNN. (3) Results: 16 of 41 (39%) subjects developed syncope. The aSKNA at rest phase is significantly higher in the tilt-positive (1.21 ± 0.27 µV) than tilt-negative subjects (1.02 ± 0.29 µV) ( = 0.034). There are significant surges and withdraw of aSKNA 30 s before and after syncope (both ≤ 0.006). SKNA-SDNN index is able to predict syncope ( < 0.001). (4) Conclusion: Higher SKNA at rest phase is associated with positive HUT. The SKNA-SDNN index is a novel marker to predict syncope during HUT.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8620794 | PMC |
| http://dx.doi.org/10.3390/jpm11111053 | DOI Listing |
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